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@ARTICLE{ahlswede2005gti,
  author = {Ahlswede, R.},
  title = {General theory of information transfer},
  journal = {Electronic Notes in Discrete Mathematics},
  year = {2005},
  volume = {21},
  pages = {181--184},
  publisher = {Elsevier}
}

@ARTICLE{Argote2000,
  author = {Argote, Linda and Ingram, Paul},
  title = {Knowledge Transfer: A Basis for Competitive Advantage in Firms},
  journal = {Organizational Behavior and Human Decision Processes},
  year = {2000},
  volume = {82},
  pages = {150--169},
  number = {1},
  month = may,
  abstract = {This concluding article in the special issue of Organizational Behavior
	and Human Decision Processes on the foundations of knowledge transfer
	in organizations argues that the creation and transfer of knowledge
	are a basis for competitive advantage in firms. The article builds
	on a framework of knowledge reservoirs to show why knowledge transfer
	can be difficult and to identify the kinds of knowledge that are
	most difficult to transfer to different contexts. The article develops
	the proposition that interactions among people, tasks, and tools
	are least likely to fit the new context and hence are the most difficult
	to transfer. This theoretical result illuminates how organizations
	can derive competitive advantage by transferring knowledge internally
	while preventing its external transfer to competitors. Because people
	are more similar within than between organizations, interactions
	involving people transfer more readily within than between firms.
	By embedding knowledge in interactions involving people, organizations
	can both effect knowledge transfer internally and impede knowledge
	transfer externally. Thus, knowledge embedded in the interactions
	of people, tools, and tasks provides a basis for competitive advantage
	in firms.},
  owner = {fox},
  timestamp = {2008.10.21},
 
}

@ARTICLE{Beecham2008,
  author = {Beecham, Sarah and Baddoo, Nathan and Hall, Tracy and Robinson, Hugh
	and Sharp, Helen},
  title = {Motivation in Software Engineering: A systematic literature review},
  journal = {Information and Software Technology},
  year = {2008},
  volume = {50},
  pages = {860--878},
  number = {9-10},
  month = aug,
  keywords = {Motivation, Software Engineering, Software Engineer, Characteristics,
	Personality, Systematic literature review},
  owner = {fox},
  timestamp = {2008.10.22},
 }

@ARTICLE{Brydon2006,
  author = {Michael Brydon AND Aidan R. Vining},
  title = {Understanding the failure of internal knowledge markets: A framework
	for diagnosis and improvement},
  journal = {Information \& Management},
  year = {2006},
  volume = {43},
  pages = {964-974},
  number = {8},
  month = {12},
  abstract = {In writing this paper, our objective was to use the concept of internal
	market failure to explain why many knowledge management initiatives
	fall short of expectations. We re-examined the conventional view
	of knowledge as a pure public good and developed a typology of knowledge
	as a heterogeneous public good. This permitted us to identify the
	different sources of internal market failure that impeded knowledge
	creation and sharing within firms. We then analyzed generic managerial
	responses to internal market failure and showed how the effectiveness
	of each response was limited by the nature of knowledge as a tradable
	commodity. We concluded by presenting a preliminary framework for
	knowledge management based on the enforcement of dynamic internal
	property rights. The objective of a dynamic response to internal
	knowledge market failure was seen as an attempt to balance individual
	incentives with the need to create and share knowledge throughout
	the organizational.},
  doi = {doi:10.1016/j.im.2006.09.001},
  keywords = {Knowledge management; Internal knowledge markets; Public goods},
  owner = {Administrator},
  timestamp = {2007.12.11}
}

@ARTICLE{Campos2004,
  author = {de Campos, Luis M. and Fern{\'a}ndez-Luna, Juan M. and Huete, Juan
	F.},
  title = {Using context information in structured document retrieval: an approach
	based on influence diagrams},
  journal = {Information Processing \& Management},
  year = {2004},
  volume = {40},
  pages = {829--847},
  number = {5},
  month = sep,
  abstract = {In this paper we present an Information Retrieval System (IRS) which
	is able to work with structured document collections. The model is
	based on the influence diagrams formalism: a generalization of Bayesian
	Networks that provides a visual representation of a decision problem.
	These offer an intuitive way to identify and display the essential
	elements of the domain (the structured document components and their
	usefulness) and also how these are related to each other. They have
	also associated quantitative knowledge that measures the strength
	of the interactions. By means of this approach, we shall present
	structured retrieval as a decision-making problem. Two different
	models have been designed: SID (Simple Influence Diagram) and CID
	(Context-based Influence Diagram). The main difference between these
	two models is that the latter also takes into account influences
	provided by the context in which each structural component is located.},
  booktitle = {Bayesian Networks and Information Retrieval},
  keywords = {Bayesian networks, Influence diagrams, Structured documents, Retrieval
	model, Decision theory},
  owner = {fox},
  timestamp = {2008.08.31},
}

@ARTICLE{Carluccia2007,
  author = {Daniela Carluccia and Giovanni Schiuma},
  title = {Knowledge assets value creation mapnext term Assessing previous termknowledge
	assets valuenext term drivers using AHP},
  journal = {Expert Systems with Applications},
  year = {2007},
  volume = {32},
  pages = {814-821},
  number = {3},
  doi = {10.1016/j.eswa.2006.01.046},
  keywords = {Resource based view; previous termKnowledge assets; Valuenext term
	drivers; Analytic hierarchy process; previous termKnowledge assets
	value creation map},
  owner = {Administrator},
  timestamp = {2007.08.16}
}

@ARTICLE{Castro2004,
  author = {de Castro, Paulo M. S. T. and Fernandes, A. A.},
  title = {Methodologies for failure analysis: a critical survey},
  journal = {Materials \& Design},
  year = {2004},
  volume = {25},
  pages = {117--123},
  number = {2},
  month = apr,
  keywords = {Failure analysis, Fatigue, Fracture, Structural integrity},
  owner = {fox},
  timestamp = {2008.08.31},
}

@INPROCEEDINGS{Chen2006,
  author = {Jiehua Chen AND Clive Robertsx AND Paul Weston},
  title = {Neuro-fuzzy fault detection and diagnosis for railway track circuits},
  booktitle = {Fault Detection, Supervision and Safety of Technical Processes},
  year = {2006},
  pages = {1366-1371},
  owner = {fox},
  timestamp = {2008.09.06}
}

@ARTICLE{Chiu2006,
  author = {Chiu, Chao-Min and Hsu, Meng-Hsiang and Wang, Eric T.G.},
  title = {Understanding knowledge sharing in virtual communities: An integration
	of social capital and social cognitive theories},
  journal = {Decision Support Systems},
  year = {2006},
  volume = {42},
  pages = {1872--1888},
  number = {3},
  month = dec,
  keywords = {Knowledge sharing, Outcome expectations, Social capital, Social cognitive
	theory, Virtual communities},
  owner = {fox},
  timestamp = {2008.10.27},
}

@ARTICLE{Choi2008,
  author = {Byounggu Choi AND Simon K. Poon AND Joseph G. Davis},
  title = {Effects of knowledge management strategy on organizational performance:
	A complementarity theory-based approach},
  journal = {Omega},
  year = {2008},
  volume = {36},
  pages = {235-251},
  number = {2},
  month = {April},
  abstract = {The extant research investigating the relationship between previous
	termknowledge managementnext term (KM) strategies and previous termorganizationalnext
	term performance has yielded inconclusive results. Our paper revisits
	this research problem by drawing on complementarity theory from Economics.
	The empirical segment of our work is based on data on KM strategies
	and previous termorganizationalnext term performance from a sample
	of 131 Korean firms. Our results suggest three types of relationship
	among KM strategies: non-complementarity, and non-critical symmetric
	complementarity, and asymmetric complementarity. Integrating explicit-oriented
	with tacit-oriented KM strategies showed non-complementarity, which
	suggests a drag on obtaining higher levels of previous termorganizationalnext
	term performance. Our analysis of KM strategies based on KM source
	shows that companies could benefit from KM by implementing external-oriented
	or internal-oriented strategy. Combining the tacit-internal-oriented
	and explicit-external-oriented KM strategies indicates a complementarity
	relationship, which implies synergistic effects of KM strategies
	on performance.},
  keywords = {Knowledge management; Knowledge managementnext term strategies; Complementarity
	theory; Association analysis; Supermodularity},
  owner = {Administrator},
  timestamp = {2008.01.19}
}

@ARTICLE{Chu2008,
  author = {Chu, Mei-Tai and Khosla, Rajiv},
  title = {Index evaluations and business strategies on communities of practice},
  journal = {Expert Systems with Applications},
  year = {2008},
  volume = {In Press, Corrected Proof},
  pages = {--},
  keywords = {Communities of practice (CoPs), Business Strategies, Fuzzy multi-criteria
	decision making (MCDM), Industrial Technology Research Institute
	(ITRI)},
  owner = {fox},
  timestamp = {2008.11.03},
}

@ARTICLE{Chu2006,
  author = {Po Young Chu AND Yu Ling Lin AND Hsing Hwa Hsiung AND Tzu Yar Liu},
  title = {Intellectual capital: An empirical study of ITRI},
  journal = {Technological Forecasting and Social Change},
  year = {2006},
  volume = {73},
  pages = {886--902},
  number = {7},
  month = {9},
  abstract = {Intellectual capital (IC) could provide a new instrument for observing
	organizational hidden value. While most
	
	intellectual capital studies are either theoretical or exploratory,
	some western research facilities are publishing
	
	annual reports based on intellectual capital. Nevertheless, Asian
	empirical studies are much rarer than western
	
	ones, let alone conducting comparison among them. Industrial Technology
	Research Institute (ITRI), founded in
	
	1973, is a non-profit national R&D organization, aiming to develop
	Taiwan industrial technologies. This paper
	
	firstly attempts to associate the components of the intellectual capital,
	namely, human capital, structural capital and
	
	relational capital with the value/performance of ITRI. Secondly, we
	find intellectual capital highly relevant to the
	
	value creation process and warrant strategic accumulation for R&D
	organizations.},
  doi = {doi:10.1016/j.techfore.2005.11.001},
  keywords = {Intellectual capital (IC); Non-profit organization; Industrial Technology
	Research Institute (ITRI); R&D; Performance evaluation},
  owner = {Administrator},
  timestamp = {2007.11.12}
}

@ARTICLE{clark1994emc,
  author = {Clark, T. and Varadarajan, P.R. and Pride, W.M.},
  title = {{Environmental management: The construct and research propositions}},
  journal = {Journal of Business Research},
  year = {1994},
  volume = {29},
  pages = {23--38},
  number = {1}
}

@ARTICLE{craven2000lck,
  author = {Craven, M. and DiPasquo, D. and Freitag, D. and McCallum, A. and
	Mitchell, T. and Nigam, K. and Slattery, S.},
  title = {Learning to construct knowledge bases from the World Wide Web},
  journal = {Artificial Intelligence},
  year = {2000},
  volume = {118},
  pages = {69--113},
  number = {1-2},
  publisher = {Elsevier}
}

@ARTICLE{David2007,
  author = {David, Prabu and Song, Mei and Hayes, Andrew and Fredin, Eric S.},
  title = {A cyclic model of information seeking in hyperlinked environments:
	The role of goals, self-efficacy, and intrinsic motivation},
  journal = {International Journal of Human-Computer Studies},
  year = {2007},
  volume = {65},
  pages = {170--182},
  number = {2},
  month = feb,
  abstract = {To examine the emergent properties of information seeking in hyperlinked
	environments, in this paper we developed a cyclic model. Using this
	model as a framework, the relationships among perceived goal difficulty,
	goal success, and self-efficacy were examined. Self-efficacy was
	conceptualized as a mediating mechanism and intrinsic motivation
	(IM) in the task was examined as a moderator. Data were collected
	as repeated measures over 20 cycles during an hour-long session of
	information seeking when students were given that task of designing
	a travel plan for a trip to China. The findings suggest that success
	in meeting information goals in one cycle resulted in an increase
	in self-efficacy, which in turn reduced the perceived difficulty
	of information goals in the upcoming cycle. At the same time, self-efficacy
	from previous cycles seemed to provide the impetus for formulating
	more challenging information goals in subsequent cycles. Besides
	this dual role of self-efficacy, the moderating role of IM was also
	evident. For participants relatively high in baseline IM for the
	task, the link between self-efficacy and goal success was weaker.
	However, for participants with relatively low levels of baseline
	IM for the task, goal success has a stronger effect on self-efficacy.},
  keywords = {Computer self-efficacy, Information search, Goal-setting, Human-computer
	interaction, Information seeking, Information retrieval, Intrinsic
	motivation, Social cognitive theory},
  owner = {fox},
  timestamp = {2008.10.24},
 }

@ARTICLE{Desouza2003,
  author = {Kevin C. Desouza AND Yukika Awazu},
  title = {Constructing internal knowledge markets: considerations from mini
	cases},
  journal = {International Journal of Information Management},
  year = {2003},
  volume = {23},
  pages = {345-353},
  number = {4},
  month = {8},
  abstract = {Knowledge management mechanisms in organizations are widespread and
	range from those that are highly technology focused to those with
	a more social flavor. However, not much attention has been given
	in the literature to economic based approaches. In this article we
	explore the notion of devising internal knowledge markets. We assert
	that the internal knowledge market is an ideal platform that integrates
	technological and social aspects of the knowledge management problem.
	We draw on lessons learnt from mini-cases conducted at several organizations
	and the current economic literature to inform our discussion. We
	outline several issues one needs to bear in mind while devising the
	internal knowledge market. With the exception of a few peculiarities,
	the internal knowledge market is subject to many of the same caveats
	one faces while building traditional physical or electronic markets
	(Kambil and van Heck, 2002; Shaprio and Varian, 1999, Malone et al.,
	1987; Economides, 1996). The internal knowledge market is to the
	21st century organizational knowledge management what the campfire
	was to the pre-historic storytellers: a place for all organizational
	and cultural knowledge to be preserved and promulgated.},
  doi = {doi:10.1016/S0268-4012(03)00056-2},
  owner = {Administrator},
  timestamp = {2007.12.11}
}

@ARTICLE{dholakia2004241,
  author = {Utpal M. Dholakia and Richard P. Bagozzi and Lisa Klein Pearo},
  title = {A social influence model of consumer participation in network- and
	small-group-based virtual communities},
  journal = {International Journal of Research in Marketing},
  year = {2004},
  volume = {21},
  pages = {241 - 263},
  number = {3},
  doi = {DOI: 10.1016/j.ijresmar.2003.12.004},
  issn = {0167-8116},
  keywords = {Virtual communities},
}

@ARTICLE{Du2009,
  author = {Wen-Bo Du and Xian-Bin Cao and Lin Zhao and Mao-Bin Hu},
  title = {Evolutionary games on scale-free networks with a preferential selection
	mechanism},
  journal = {Physica A: Statistical Mechanics and its Applications},
  year = {2009},
  volume = {In Press, Uncorrected Proof},
  pages = { - },
  doi = {DOI: 10.1016/j.physa.2009.07.012},
  issn = {0378-4371},
  keywords = {Evolutionary games},
}

@ARTICLE{Fischer2005,
  author = {Fischer, Gerhard and Giaccardi, Elisa and Eden, Hal and Sugimoto,
	Masanori and Ye, Yunwen},
  title = {Beyond binary choices: Integrating individual and social creativity},
  journal = {International Journal of Human-Computer Studies},
  year = {2005},
  volume = {63},
  pages = {482--512},
  number = {4-5},
  month = oct,
  booktitle = {Computer support for creativity},
  keywords = {Collaborative design, Individual creativity, Social creativity, Collaboration
	models, Distributed cognition, Boundary objects, Seeding, Evolutionary
	growth, Reseeding (SER) process model, Meta-design, Envisionment
	and Discovery Collaboratory (EDC), Caretta, Renga, Codebroker, Interactive
	art, Open source, Software reuse, Reflective communities, Socio-technical
	environments, Unselfconscious cultures of design},
  owner = {fox},
  timestamp = {2008.11.04},
}

@ARTICLE{Garrety2004,
  author = {Garrety, Karin and Robertson, Paul L. and Badham, Richard},
  title = {Integrating communities of practice in technology development projects},
  journal = {International Journal of Project Management},
  year = {2004},
  volume = {22},
  pages = {351--358},
  number = {5},
  month = jul,
  keywords = {Managing projects, Teams, Culture, Technology, Innovation, Communities
	of practice},
  owner = {fox},
  timestamp = {2008.11.04},
}

@ARTICLE{Gordon1999,
  author = {Gordon, Michael and Pathak, Praveen},
  title = {Finding information on the World Wide Web: the retrieval effectiveness
	of search engines},
  journal = {Information Processing \& Management},
  year = {1999},
  volume = {35},
  pages = {141--180},
  number = {2},
  month = mar,
  owner = {fox},
  timestamp = {2008.08.22},
}

@ARTICLE{Gunn1999,
  author = {Gunn, Alison and Sutcliffe, Geoff and Walker, Daniel},
  title = {Knowledge acquisition for natural resource management},
  journal = {Computers and Electronics in Agriculture},
  year = {1999},
  volume = {23},
  pages = {71--82},
  number = {1},
  month = jun,
  abstract = {Decision support systems (DSSs) can play a powerful role in natural
	resource management (NRM), by allowing more effective and collective
	use of information in addressing complex and often poorly structured
	questions. CSIRO Tropical Agriculture, in Townsville, Australia,
	is developing a DSS generator that provides a flexible environment
	for the construction of decision support tools that assist in assessing
	the implications of proposed policies or management actions. In this
	context, the POSEIDON system was designed to help resource managers
	with the problem formulation phase of building a DSS, i.e. identifying
	specific issues that need to be analysed to provide an answer to
	a broad NRM question. This is achieved by a form of knowledge acquisition
	from free text, which performs intelligent analysis of NRM documents.
	This article describes the design of POSEIDON and its application
	in NRM problem formulation.},
  keywords = {Decision support systems, Knowledge presentation, Text summarisation},
  owner = {fox},
  timestamp = {2008.08.31},
}

@ARTICLE{Hahn2000,
  author = {Hahn, Udo and Romacker, Martin},
  title = {Content management in the SYNDIKATE system--How technical documents
	are automatically transformed to text knowledge bases},
  journal = {Data \& Knowledge Engineering},
  year = {2000},
  volume = {35},
  pages = {137--159},
  number = {2},
  month = nov,
  abstract = {SDKAT is a family of natural language understanding systems for automatically
	acquiring knowledge from real-world texts (e.g., information technology
	test reports, medical finding reports), and for transferring their
	content to formal representation structures which constitute a corresponding
	text knowledge base. We present a general system architecture which
	integrates requirements from the analysis of single sentences, as
	well as those of referentially linked sentences forming cohesive
	texts. Properly accounting for text cohesion phenomena is a prerequisite
	for the soundness and validity of the generated text representation
	structures. It is also crucial for any information system application
	making use of automatically generated text knowledge bases in a reliable
	way, e.g., by inferentially supported fact retrieval.},
  keywords = {Natural language processing, Text understanding, Knowledge acquisition
	from texts},
  owner = {fox},
  timestamp = {2008.08.31},
}

@ARTICLE{han2008nao,
  author = {Han, S. and Kim, B.J.},
  title = {{Network analysis of an online community}},
  journal = {Physica A: Statistical Mechanics and its Applications},
  year = {2008},
  volume = {387},
  pages = {5946--5951},
  number = {23},
  publisher = {Elsevier}
}

@ARTICLE{Hertel2003,
  author = {Hertel, Guido and Niedner, Sven and Herrmann, Stefanie},
  title = {Motivation of software developers in Open Source projects: an Internet-based
	survey of contributors to the Linux kernel},
  journal = {Research Policy},
  year = {2003},
  volume = {32},
  pages = {1159--1177},
  number = {7},
  month = jul,
  booktitle = {Open Source Software Development},
  keywords = {Open Source Software, Linux, Virtual teams, Motivation, VIST model},
  owner = {fox},
  timestamp = {2008.10.25},
}

@ARTICLE{Ho2009,
  author = {Shu-Hsun Ho and Chiung-Hui Huang},
  title = {Exploring success factors of video game communities in hierarchical
	linear modeling: The perspectives of members and leaders},
  journal = {Computers in Human Behavior},
  year = {2009},
  volume = {In Press, Corrected Proof},
  pages = { - },
  abstract = {Video games are enjoying fast-growing popularity, becoming a major
	component of young people's social lives and leisure activities.
	Many players share information and conduct social interactions in
	virtual communities (VC). The current study sought to examine the
	relationships between members and leaders in such video game communities
	using a number of variables to describe the member (i.e., knowledge
	sharing, usefulness, enjoyability, off-site interaction, satisfaction,
	loyalty, and intention to use) and the leader (i.e., leader involvement).
	Based on a sample of 2227 members and 41 leaders in 30 video game
	communities, the research demonstrated the use of a two-level hierarchical
	linear modeling (HLM) to examine the relationships of VC leaders
	and members, appropriately adjusted for a nested structure. The results
	indicated that leaders who engage in higher levels of involvement
	in VC are more likely to have members who agree with and respond
	to the community. Furthermore, member- and leader-level factors were
	significantly associated with member satisfaction: knowledge sharing,
	usefulness, and enjoyability explained within-VC variance while leader
	involvement explained between-VC variance. Finally, member satisfaction
	demonstrated positive effects on both member loyalty and intention
	to use. The study further discussed the implications of these findings,
	offering direction for future research.},
  doi = {DOI: 10.1016/j.chb.2009.02.004},
  issn = {0747-5632},
  keywords = {Hierarchical linear model (HLM)},
}

@ARTICLE{Hsu2007,
  author = {Hsu, Meng-Hsiang and Ju, Teresa L. and Yen, Chia-Hui and Chang, Chun-Ming},
  title = {Knowledge sharing behavior in virtual communities: The relationship
	between trust, self-efficacy, and outcome expectations},
  journal = {International Journal of Human-Computer Studies},
  year = {2007},
  volume = {65},
  pages = {153--169},
  number = {2},
  month = feb,
  keywords = {Knowledge sharing behavior, Trust, Self-efficacy, Social cognitive
	theory, Virtual communities},
  owner = {fox},
  timestamp = {2008.10.27},
}

@ARTICLE{Huang2009,
  author = {Hsiao-Tzu Huang and Chuen-Lung Chen},
  title = {Emerging organizational structure for knowledge-oriented teamwork
	using genetic algorithm},
  journal = {Expert Systems with Applications},
  year = {2009},
  volume = {In Press, Uncorrected Proof},
  pages = { - },
  doi = {DOI: 10.1016/j.eswa.2009.03.062},
  issn = {0957-4174},
  keywords = {Match},
}

@ARTICLE{Huang2002,
  author = {Huang, Samuel H. and Xing, Hao},
  title = {Extract intelligible and concise fuzzy rules from neural networks},
  journal = {Fuzzy Sets and Systems},
  year = {2002},
  volume = {132},
  pages = {233--243},
  number = {2},
  month = dec,
  abstract = {The advent of artificial neural networks has contributed significantly
	to the field of knowledge engineering. Neural networks belong to
	a family of models that are based on a learning-by-example paradigm
	in which problem solving knowledge is automatically generated according
	to actual examples presented to them. The knowledge, however, is
	represented at a subsymbolic level in terms of connections and weights.
	Neural networks act like black boxes providing little insight into
	how decisions are made. They have no explicit, declarative knowledge
	structure that allows the representation and generation of explanation
	structures. Thus, knowledge captured by neural networks is not transparent
	to users and cannot be verified by domain experts. To solve this
	problem, researchers are interested in developing a humanly understandable
	representation for neural networks. This can be achieved by extracting
	production rules from trained neural networks. Current rule extraction
	approaches can successfully deal with problems with discrete-valued
	inputs but are less efficient when dealing with problems with continuous-valued
	inputs. This paper presents a novel approach to represent continuous-valued
	input parameters using linguistic terms (discretization) and then
	extract fuzzy rules from trained binary single-layer neural networks.
	An algorithm was developed to extract the most dominant fuzzy rules.
	The results are very simple rules that can achieve high predictive
	accuracy. The algorithm was applied to a couple of benchmark pattern
	recognition problems and a real-world manufacturing problem with
	promising results.},
  keywords = {Knowledge acquisition, Neuro-fuzzy systems, Pattern recognition, Manufacturing},
  owner = {fox},
  timestamp = {2008.09.01},
}

@ARTICLE{Hull1999,
  author = {Hull, Richard and Gomez, Fernando},
  title = {Automatic acquisition of biographic knowledge from encyclopedic texts},
  journal = {Expert Systems with Applications},
  year = {1999},
  volume = {16},
  pages = {261--270},
  number = {3},
  month = apr,
  abstract = {Automatically acquiring knowledge from encyclopedic texts, specifically
	the biographies of famous people found in the World Book Encyclopedia,
	begins with an electronic version of the text of a biography and
	ends with knowledge structures representing the knowledge that has
	been acquired. This acquisition process is performed without human
	assistance of any kind and thus involves not only issues in the area
	of knowledge acquisition, but also issues in natural language understanding
	and knowledge representation. We describe one problem from each of
	these two areas: interpretation of deverbal nominalizations and representation
	of the a priori knowledge required by the semantic interpreter. The
	results of two comprehensive experiments are presented in this article,
	which show that these problems can be solved on the way to near human
	performance in answering a large set of questions.},
  keywords = {Deverbal nominalization, Semantic interpreter, Noun phrase, Prepositional
	phrase},
  owner = {fox},
  timestamp = {2008.08.31},
}

@ARTICLE{james2003dlo,
  author = {JAMES, C.R.},
  title = {Designing Learning Organizations},
  journal = {Organizational Dynamics},
  year = {2003},
  volume = {32},
  pages = {46--61},
  number = {1},
  publisher = {Elsevier}
}

@ARTICLE{Jarvenpaaee2000,
  author = {Jarvenpaa, S. L. and Staples, D. S.},
  title = {The use of collaborative electronic media for information sharing:
	an exploratory study of determinants},
  journal = {The Journal of Strategic Information Systems},
  year = {2000},
  volume = {9},
  pages = {129--154},
  number = {2-3},
  month = sep,
  keywords = {Electronic media, Constant et al.'s theory, Task interdependence},
  owner = {fox},
  timestamp = {2008.10.28},
}

@ARTICLE{johnson2001scr,
  author = {Johnson, C.M.},
  title = {{A survey of current research on online communities of practice}},
  journal = {The internet and higher education},
  year = {2001},
  volume = {4},
  pages = {45--60},
  number = {1},
  publisher = {Elsevier}
}

@ARTICLE{joshi2007ktw,
  author = {Joshi, KD and Sarker, S. and Sarker, S.},
  title = {Knowledge transfer within information systems development teams:
	Examining the role of knowledge source attributes},
  journal = {Decision Support Systems},
  year = {2007},
  volume = {43},
  pages = {322--335},
  number = {2},
  publisher = {Elsevier}
}

@ARTICLE{Jung2009,
  author = {Jason J. Jung},
  title = {Contextualized recommendation system based on interactive social
	network discovery from mobile subscribers},
  journal = {Expert Systems with Applications},
  year = {2009},
  volume = {In Press, Uncorrected Proof},
  pages = { - },
  doi = {DOI: 10.1016/j.eswa.2009.03.067},
  issn = {0957-4174},
  keywords = {Context},
}

@ARTICLE{Kanea2005,
  author = {Aim{\'e}e A. Kanea AND Linda Argoteb and John M. Levine},
  title = {Knowledge transfer between groups via personnel rotation: Effects
	of social identity and knowledge quality},
  journal = {Organizational Behavior and Human Decision Processes},
  year = {2005},
  volume = {96},
  pages = {56-71},
  number = {1},
  month = {Jan},
  abstract = {The study examines the effects of social identity and knowledge quality
	on knowledge transfer across groups. One hundred and forty-four students
	performed a production task in three-person groups. Midway through
	the task, a member from a different group rotated into each group.
	The primary dependent variable was whether the group adopted the
	production routine of the rotating member. Analyses revealed the
	predicted main and interactive effects. Groups were more likely to
	adopt the routine of a rotator when they shared a superordinate social
	identity with that member than when they did not. Groups were also
	more likely to adopt a routine from a rotator when it was superior
	than when it was inferior to their own. Further, superordinate groups
	adopted the production routine of the rotator when it was superior
	but not inferior to their own, whereas groups that did not share
	a superordinate identity with the rotator generally did not adopt
	the rotator production routine, even when it was superior to their
	own and would have improved their performance.},
  doi = {doi:10.1016/j.obhdp.2004.09.002},
  keywords = {Knowledge transfer; Social identity; Group performance; Groups; Superordinate
	goals; Personnel rotation; Newcomers; Group learning},
  owner = {Administrator},
  timestamp = {2008.02.26}
}

@ARTICLE{Khaw1995,
  author = {Khaw, John F. C. and Lim, B. S. and Lim, Lennie E. N.},
  title = {Optimal design of neural networks using the Taguchi method},
  journal = {Neurocomputing},
  year = {1995},
  volume = {7},
  pages = {225--245},
  number = {3},
  month = apr,
  keywords = {Taguchi method, Neural network design, Orthogonal array based experiments,
	Signal-to-noise ratios, Variance analysis, Robust neural network,
	Design factors},
  owner = {fox},
  timestamp = {2008.09.07},
}

@ARTICLE{Kim2004,
  author = {Kim, YongSeog and Street, W. Nick},
  title = {An intelligent system for customer targeting: a data mining approach},
  journal = {Decision Support Systems},
  year = {2004},
  volume = {37},
  pages = {215--228},
  number = {2},
  month = may,
  abstract = {We propose a data mining approach for market managers that uses artificial
	neural networks (ANNs) guided by genetic algorithms (GAs). Our predictive
	model allows the selection of an optimal target point where expected
	profit from direct mailing is maximized. Our approach also produces
	models that are easier to interpret by using a smaller number of
	predictive features. Through sensitivity analysis, we also show that
	our chosen model significantly outperforms the baseline algorithms
	in terms of hit rate and expected net profit on key target points.},
  keywords = {Customer targeting, Data mining, Feature selection, Genetic algorithms,
	Neural networks, Ensemble},
  owner = {fox},
  timestamp = {2008.08.31},
}

@ARTICLE{King2008,
  author = {William R. King AND T. Rachel Chung AND Mark H. Haney},
  title = {Knowledge Management and Organizational Learning},
  journal = {Omega},
  year = {2008},
  volume = {36},
  pages = {167-172},
  number = {2},
  month = {April},
  owner = {Administrator},
  timestamp = {2008.01.18}
}

@ARTICLE{kozinets1999tms,
  author = {Kozinets, R.V.},
  title = {{E-tribalized marketing?: The strategic implications of virtual communities
	of consumption}},
  journal = {European Management Journal},
  year = {1999},
  volume = {17},
  pages = {252--264},
  number = {3},
  publisher = {Elsevier}
}

@ARTICLE{Kozinets1999252,
  author = {Robert V. Kozinets},
  title = {E-tribalized marketing?: the strategic implications of virtual communities
	of consumption},
  journal = {European Management Journal},
  year = {1999},
  volume = {17},
  pages = {252 - 264},
  number = {3},
  doi = {DOI: 10.1016/S0263-2373(99)00004-3},
  issn = {0263-2373},
}

@ARTICLE{Kuo2008,
  author = {Kuo, Feng-Yang and Young, Mei-Lien},
  title = {Predicting knowledge sharing practices through intention: A test
	of competing models},
  journal = {Computers in Human Behavior},
  year = {2008},
  volume = {24},
  pages = {2697--2722},
  number = {6},
  month = sep,
  booktitle = {Including the Special Issue: Electronic Games and Personalized eLearning
	Processes},
  keywords = {Knowledge management, Knowledge sharing, Theory of Reasoned Action,
	Theory of Planned Behavior},
  owner = {fox},
  timestamp = {2008.10.27},
}

@ARTICLE{Kwon2009,
  author = {Ohbyung Kwon and Jihoon Kim},
  title = {A two-step approach to building bilateral consensus between agents
	based on relationship learning theory},
  journal = {Expert Systems with Applications},
  year = {2009},
  volume = {In Press, Uncorrected Proof},
  pages = { - },
  doi = {DOI: 10.1016/j.eswa.2009.03.070},
  issn = {0957-4174},
  keywords = {Joint learning theory},
}

@ARTICLE{Larsen2009,
  author = {Tor J. Larsen and Anne M. Sørebø and Øystein Sørebø},
  title = {The role of task-technology fit as users' motivation to continue
	information system use},
  journal = {Computers in Human Behavior},
  year = {2009},
  volume = {In Press, Corrected Proof},
  pages = { - },
  doi = {DOI: 10.1016/j.chb.2009.02.006},
  issn = {0747-5632},
  keywords = {IS use},
}

@ARTICLE{2008,
  author = {Chuck C.H. Law AND Eric W.T. Ngai},
  title = {An empirical study of the effects of knowledge sharing and learning
	behaviors on firm performance},
  journal = {Expert Systems with Applications},
  year = {2008},
  volume = {34},
  pages = {2342-2349},
  number = {4},
  month = {May},
  abstract = {previous termKnowledge sharingnext term and learning behaviors in
	the workplace are believed to be very important to the success of
	firms. In this study, the relationships between previous termknowledge
	sharingnext term and learning behaviors, business process improvement,
	product and service offerings, and organizational performance are
	examined based on a sample of 134 firms engaged in manufacturing,
	and wholesale or retailing operations. Data analyses using the partial
	least squares statistical technique revealed that previous termknowledge
	sharingnext term and learning behaviors are positively associated
	with business process improvement, and product and service offerings.
	Business process improvement and product and service offerings are
	positively associated, and they in turn are positively related to
	organizational performance. The findings reinforce the importance
	of previous termknowledge sharingnext term and learning to companies.
	Executives should encourage previous termknowledgenext term management
	and organizational learning activities within their firms, and give
	proper considerations to the strategies and implementation of programs
	supporting these activities in order to enhance firm performance.},
  doi = {doi:10.1016/j.eswa.2007.03.004},
  keywords = {previous termKnowledge sharingnext term; Learning organization; Business
	process improvement; Product and services offerings; Organizational
	performance},
  owner = {Administrator},
  timestamp = {2008.02.26}
}

@ARTICLE{Lee2007,
  author = {Lee, Dong-Joo and Ahn, Jae-Hyeon},
  title = {Reward systems for intra-organizational knowledge sharing},
  journal = {European Journal of Operational Research},
  year = {2007},
  volume = {180},
  pages = {938--956},
  number = {2},
  month = jul,
  keywords = {Economics, Cost benefit analysis, Intra-organizational knowledge sharing,
	Knowledge management, Reward system design},
  owner = {fox},
  timestamp = {2008.10.28},
}

@ARTICLE{Lee2009a,
  author = {Eun-Ju Lee},
  title = {I like you, but I won't listen to you: Effects of rationality on
	affective and behavioral responses to computers that flatter},
  journal = {International Journal of Human-Computer Studies},
  year = {2009},
  volume = {In Press, Accepted Manuscript},
  pages = { - },
  doi = {DOI: 10.1016/j.ijhcs.2009.03.003},
  issn = {1071-5819},
  keywords = {Computers Are Social Actors},
}

@ARTICLE{Lee2009,
  author = {Lee, Sang-Yong Tom and Kim, Hee-Woong and Gupta, Sumeet},
  title = {Measuring open source software success},
  journal = {Omega},
  year = {2009},
  volume = {37},
  pages = {426--438},
  number = {2},
  month = apr,
  keywords = {Open source software, Software success model, Linux},
  owner = {fox},
  timestamp = {2008.08.12},
}

@ARTICLE{Leung2006,
  author = {Leung, Yee and Wu, Wei-Zhi and Zhang, Wen-Xiu},
  title = {Knowledge acquisition in incomplete information systems: A rough
	set approach},
  journal = {European Journal of Operational Research},
  year = {2006},
  volume = {168},
  pages = {164--180},
  number = {1},
  month = jan,
  abstract = {This paper deals with knowledge acquisition in incomplete information
	systems using rough set theory. The concept of similarity classes
	in incomplete information systems is first proposed. Two kinds of
	partitions, lower and upper approximations, are then formed for the
	mining of certain and association rules in incomplete decision tables.
	One type of "optimal certain" and two types of "optimal association"
	decision rules are generated. Two new quantitative measures, "random
	certainty factor" and "random coverage factor", associated with each
	decision rule are further proposed to explain relationships between
	the condition and decision parts of a rule in incomplete decision
	tables. The reduction of descriptors and induction of optimal rules
	in such tables are also examined.},
  keywords = {Rough sets, Decision rules, Incomplete information systems, Knowledge
	acquisition, Lower and upper approximations},
  owner = {fox},
  timestamp = {2008.08.31},
}

@ARTICLE{Liao2003,
  author = {Shu-hsien Liao},
  title = {Knowledge management technologies and applications—literature review
	from 1995 to 2002},
  journal = {Expert Systems with Applications},
  year = {2003},
  volume = {25},
  pages = {155-164},
  number = {2},
  month = {8},
  abstract = {This paper surveys previous termknowledge managementnext term (KM)
	development using a literature previous termreviewnext term and classification
	of articles from 1995 to 2002 with keyword index in order to explore
	how KM technologies and applications have developed in this period.
	Based on the scope of 234 articles of previous termknowledge managementnext
	term applications, this paper surveys and classifies KM technologies
	using the seven categories as: KM framework, previous termknowledgenext
	term-based systems, data mining, information and communication technology,
	artificial intelligence/expert systems, database technology, and
	modeling, together with their applications for different research
	and problem domains. Some discussion is presented, indicating future
	development for previous termknowledge managementnext term technologies
	and applications as the followings: (1) KM technologies tend to develop
	towards expert orientation, and KM applications development is a
	problem-oriented domain. (2) Different social studies methodologies,
	such as statistical method, are suggested to implement in KM as another
	kind of technology. (3) Integration of qualitative and quantitative
	methods, and integration of KM technologies studies may broaden our
	horizon on this subject. (4) The ability to continually change and
	obtain new understanding is the power of KM technologies and will
	be the application of future works.},
  keywords = {Knowledge management; Knowledge management technologies; Knowledge
	management applications; Literature survey},
  owner = {Administrator},
  timestamp = {2008.01.18}
}

@ARTICLE{Liao2009,
  author = {Shu-Hsien Liao and Chi-chuan Wu},
  title = {System perspective of knowledge management, organizational learning,
	and organizational innovation},
  journal = {Expert Systems with Applications},
  year = {2009},
  volume = {In Press, Corrected Proof},
  pages = { - },
  doi = {DOI: 10.1016/j.eswa.2009.06.109},
  issn = {0957-4174},
  keywords = {Knowledge management},
}

@ARTICLE{Liao1999,
  author = {Liao, T. Warren and Zhan, Z-H. and Mount, C. R.},
  title = {An integrated database and expert system for failure mechanism identification:
	Part I--automated knowledge acquisition},
  journal = {Engineering Failure Analysis},
  year = {1999},
  volume = {6},
  pages = {387--406},
  number = {6},
  month = dec,
  abstract = {An integrated database and expert system has been developed for identifying
	the failure mechanism of mechanical components. The system comprises
	six major modules: database and management system, case maintenance;
	knowledge acquisition and editing; expert system; explanation and
	test-recommendation facilities; and user interface. Part I of a two-part
	paper details the knowledge acquisition and editing module, as presented
	here. Part II describes the remaining modules and also gives test
	results [9]. The method used for automated knowledge acquisition
	is an inductive learning algorithm, which was modified from PRISM
	[2] to handle noisy and missing data. Using the algorithm, a total
	of 48 rules were induced from 477 training examples gathered for
	the identification of 15 different failure mechanisms such as brittle
	fracture, fatigue, and stress corrosion cracking. Fifty-nine attributes
	were used to distinguish one failure mechanism from the others. They
	include pitted, beach marks, microvoids, etc. The knowledge editing
	function is provided to allow the verification of induced rules by
	the human expert.},
  keywords = {Failure analysis, Failure mechanism, Expert system, Knowledge acquisition,
	Inductive learning},
  owner = {fox},
  timestamp = {2008.08.31},
}

@ARTICLE{liu2007drk,
  author = {Liu, D.R. and Lai, C.H. and Huang, C.W.},
  title = {Document recommendation for knowledge sharing in personal folder
	environments},
  journal = {The Journal of Systems \& Software},
  year = {2007},
  publisher = {Elsevier}
}

@ARTICLE{Magnini2008,
  author = {Vincent P. Magnini},
  title = {Practicing effective knowledge sharing in international hotel joint
	ventures},
  journal = {International Journal of Hospitality Management},
  year = {2008},
  volume = {27},
  pages = {249-258},
  number = {2},
  month = {June},
  abstract = {previous termKnowledge sharingnext term can be described as the process
	by which individuals mutually exchange their previous termknowledgenext
	term and collaboratively generate new previous termknowledge.next
	term Since international hotel joint venture partners typically possess
	skills in competing areas, this process of previous termknowledge
	sharingnext term is critical to the success of these alliances. Therefore,
	this article presents a framework that can be used to foster effective
	previous termknowledge sharingnext term at the individual joint venture
	manager level, at the relationship level between individuals, and
	across the entire organization.},
  doi = {doi:10.1016/j.ijhm.2007.07.015},
  keywords = {Hotel joint ventures; previous termKnowledge sharing; Knowledgenext
	term transfer; previous termKnowledgenext term transformation; previous
	termKnowledgenext term harvesting},
  owner = {Administrator},
  timestamp = {2008.02.26}
}

@ARTICLE{Mahalakshmi2009,
  author = {G.S. Mahalakshmi and T.V. Geetha},
  title = {Argument Based Learning Communities},
  journal = {Knowledge-Based Systems},
  year = {2009},
  volume = {In Press, Accepted Manuscript},
  pages = { - },
  doi = {DOI: 10.1016/j.knosys.2008.10.013},
  issn = {0950-7051},
  keywords = {knowledge sharing},
}

@ARTICLE{Mao2007,
  author = {Mao, Wenlei and Chu, Wesley W.},
  title = {The phrase-based vector space model for automatic retrieval of free-text
	medical documents},
  journal = {Data \& Knowledge Engineering},
  year = {2007},
  volume = {61},
  pages = {76--92},
  number = {1},
  month = apr,
  abstract = {Objective To develop a document indexing scheme that improves the
	retrieval effectiveness for free-text medical documents.Design The
	phrase-based vector space model (VSM) uses multi-word phrases as
	indexing terms. Each phrase consists of a concept in the unified
	medical language system (UMLS) and its corresponding component word
	stems. The similarity between concepts are defined by their relations
	in a hypernym hierarchy derived from UMLS. After defining the similarity
	between two phrases by their stem overlaps and the similarity between
	the concepts they represent, we define the similarity between two
	documents as the cosine of the angle between their corresponding
	phrase vectors. This paper reports the development and the validation
	of the phrase-based VSM.Measurement We compare the retrieval effectiveness
	of different vector space models using two standard test collections,
	OHSUMED and Medlars. OHSUMED contains 105 queries and 14,430 documents,
	and Medlars contains 30 queries and 1033 documents. Each document
	in the test collections is judged by human experts to be either relevant
	or non-relevant to each query. The retrieval effectiveness is measured
	by precision and recall.Results The phrase-based VSM is significantly
	more effective than the current gold standard--the stem-based VSM.
	Such significant retrieval effectiveness improvements are observed
	in both the exhaustive search and cluster-based document retrievals.Conclusion
	The phrase-based VSM is a better indexing scheme than the stem-based
	VSM. Medical document retrieval using the phrase-based VSM is significantly
	more effective than that using the stem-based VSM.},
  booktitle = {Business Process Management - Where business processes and web services
	meet},
  keywords = {Information storage and retrieval/methods, Computing methodologies,
	Vector space model, Concept-based vector space model, Phrase-based
	vector space model, Information systems, Unified medical language
	system},
  owner = {fox},
  timestamp = {2008.08.31},
}

@ARTICLE{Massey2003,
  author = {Massey, Louis},
  title = {On the quality of ART1 text clustering},
  journal = {Neural Networks},
  year = {2003},
  volume = {16},
  pages = {771--778},
  number = {5-6},
  booktitle = {Advances in Neural Networks Research: IJCNN '03},
  keywords = {Adaptive resonance theory, Text clustering, Text categorization},
  owner = {fox},
  timestamp = {2008.09.07},
}

@ARTICLE{MATSON2003a,
  author = {ERIC MATSON AND PRADIP PATIATH AND TIM SHAVERS},
  title = {Stimulating Knowledge Sharing: Strengthening Your Organization's
	Internal Knowledge Market},
  journal = {Organizational Dynamics},
  year = {2003},
  volume = {32},
  pages = {275-285},
  number = {3},
  doi = {doi:10.1016/S0090-2616(03)00030-5},
  owner = {Administrator},
  timestamp = {2007.12.11}
}

@ARTICLE{Mayer1990,
  author = {Mayer, P.},
  title = {Boiler tube failure mechanism recognition - an expert system},
  journal = {CIM Bulletin},
  year = {1990},
  volume = {83},
  pages = {92-95},
  number = {939},
  month = {July},
  owner = {fox},
  timestamp = {2008.09.06}
}

@ARTICLE{mckelvey2003dcl,
  author = {McKelvey, M. and Alm, H. and Riccaboni, M.},
  title = {Does co-location matter for formal knowledge collaboration in the
	Swedish biotechnology--pharmaceutical sector?},
  journal = {Research Policy},
  year = {2003},
  volume = {32},
  pages = {483--501},
  number = {3},
  publisher = {Elsevier}
}

@ARTICLE{MillieKwan2003,
  author = {Millie Kwan, M. and Balasubramanian, P.},
  title = {KnowledgeScope: managing knowledge in context},
  journal = {Decision Support Systems},
  year = {2003},
  volume = {35},
  pages = {467--486},
  number = {4},
  month = jul,
  keywords = {Knowledge repositories, Knowledge management, Process modeling, Workflow
	management, Organizational memory},
  owner = {fox},
  timestamp = {2008.11.03},
}

@ARTICLE{Pajares2000,
  author = {Pajares, Frank and Britner, Shari L. and Valiante, Giovanni},
  title = {Relation between Achievement Goals and Self-Beliefs of Middle School
	Students in Writing and Science},
  journal = {Contemporary Educational Psychology},
  year = {2000},
  volume = {25},
  pages = {406--422},
  number = {4},
  month = oct,
  owner = {fox},
  timestamp = {2008.10.24},
}

@ARTICLE{Pan2003,
  author = {Pan, Shan L. and Leidner, Dorothy E.},
  title = {Bridging communities of practice with information technology in pursuit
	of global knowledge sharing},
  journal = {The Journal of Strategic Information Systems},
  year = {2003},
  volume = {12},
  pages = {71--88},
  number = {1},
  month = mar,
  keywords = {IT-enabled knowledge management systems, Knowledge management, Communities
	of practice, Global knowledge sharing},
  owner = {fox},
  timestamp = {2008.11.03},
}

@ARTICLE{Parsaa,
  author = {Saeed Parsaa AND Fereshteh-Azadi Parand},
  title = {Cooperative decision making in a knowledge grid environment},
  journal = {Future Generation Computer Systems},
  doi = {doi:10.1016/j.future.2007.03.003},
  owner = {Administrator},
  timestamp = {2007.06.29}
}

@ARTICLE{Petrash1996,
  author = {Petrash, Gordon},
  title = {Dow's journey to a knowledge value management culture},
  journal = {European Management Journal},
  year = {1996},
  volume = {14},
  pages = {365--373},
  number = {4},
  month = aug,
  booktitle = {The Epistemological Challenge: Managing Knowledge and Intellectual
	Capital},
  owner = {fox},
  timestamp = {2008.10.22},
}

@ARTICLE{Ravishankar2008,
  author = {M.N. Ravishankar and Shan L. Pan},
  title = {The influence of organizational identification on organizational
	knowledge management (KM)},
  journal = {Omega},
  year = {2008},
  volume = {36},
  pages = {167-172},
  number = {2},
  month = {April},
  abstract = {Information technology (IT) outsourcing vendor organizations contain
	isolated business units whose creation and sustenance greatly facilitate
	business operations. But they also introduce important challenges
	for previous termorganizational knowledge managementnext term (KM).
	In this paper, based on 7 months of intensive field-work at India
	Inc., a leading Indian IT firm, we looked at how members identification
	with two organizations, their own and their client organization,
	influences their compliance with an previous termorganizationalnext
	term KM initiative. The findings show that members have difficulties
	in complying with the expectations of the previous termorganizationalnext
	term KM initiative owing to a stronger identification with their
	client organizations. At the same time, they comply readily with
	KM initiatives at the business unit level. The findings show that
	KM managers at India Inc. use the help of middle level managers in
	the business units in their efforts to improve members compliance
	with previous termorganizationalnext term KM. Theoretical and managerial
	implications of the study are discussed.},
  keywords = {Knowledge managementnext term (KM) implementation; previous termOrganizationalnext
	term identity; Identification; Case study},
  owner = {Administrator},
  timestamp = {2008.01.19}
}

@ARTICLE{Helena2007,
  author = {Helena Nemec Rudea AND Tanja Mihalib},
  title = {Intellectual capital in the hotel industry: A case study from Slovenia},
  journal = {International Journal of Hospitality Management},
  year = {2007},
  volume = {26},
  pages = {188-199},
  number = {1},
  month = {3},
  abstract = {Human, structural and non-end-customer-relationship capital in the
	hotel industry need end-customer-relationship capital to reflect
	themselves in financial performance, as a study of the Slovenian
	hotel industry has shown.
	
	
	Till now the classical intellectual capital (IC) model and its applications
	has dealt with three categories: human, structural and relationship
	capital. The paper takes a step further in the evolution of the IC
	model for the hotel industry and divides relationship capital into
	two categories: end-customer-relationship capital that only refers
	to relations with end-customers and non-end-customer-relationship
	capital that embraces relations with all the other customers and/or
	partners. Such an approach enabled us to measure the influence of
	each IC category on the financial performance of hotel firms separately.
	The application of this model in the Slovenian hotel industry showed
	positive correlations between all pairs of IC categories. Although
	the total IC has a significant impact on financial performance, the
	study shows that only end-customer relationships proved to have a
	strong direct impact on financial results. The study suggests that
	Slovenian hotel management should improve IC by investment in human
	capital and information technology, both of which are connected to
	the urgent need for speeding up the process of direct distribution
	channels development in the category of end-customer-relationship
	capital, thereby directly influencing the financial performance of
	Slovenian hotel firms.},
  doi = {10.1016/j.ijhm.2005.11.002},
  keywords = {Intellectual capital; Hotel industry; Human capital; Structural capital;
	End-customer-relationship capital; Non-end-customer-relationship
	capital},
  owner = {Administrator},
  timestamp = {2007.06.21}
}

@ARTICLE{Ryan200054,
  author = {Richard M. Ryan and Edward L. Deci},
  title = {Intrinsic and Extrinsic Motivations: Classic Definitions and New
	Directions},
  journal = {Contemporary Educational Psychology},
  year = {2000},
  volume = {25},
  pages = {54 - 67},
  number = {1},
  doi = {DOI: 10.1006/ceps.1999.1020},
  issn = {0361-476X},
}

@INPROCEEDINGS{Israel2006,
  author = {Israel Barragan Santiago AND Jean-Marc Faure AND Yiannis Papadopoulos},
  title = {Including systematic faults into fault tree analysis},
  booktitle = {Fault Detection, Supervision and Safety of Technical Processes},
  year = {2006},
  pages = {765-770
	
	765-770.},
  owner = {fox},
  timestamp = {2008.09.06}
}

@ARTICLE{shang2005evi,
  author = {Shang, R.A. and Chen, Y.C. and Shen, L.},
  title = {{Extrinsic versus intrinsic motivations for consumers to shop on-line}},
  journal = {Information \& Management},
  year = {2005},
  volume = {42},
  pages = {401--413},
  number = {3},
  publisher = {Elsevier}
}

@ARTICLE{Shani200936,
  author = {Yaniv Shani and Eric R. Igou and Marcel Zeelenberg},
  title = {Different ways of looking at unpleasant truths: How construal levels
	influence information search},
  journal = {Organizational Behavior and Human Decision Processes},
  year = {2009},
  volume = {110},
  pages = {36 - 44},
  number = {1},
  doi = {DOI: 10.1016/j.obhdp.2009.05.005},
  issn = {0749-5978},
  keywords = {Uncertainty},
}

@ARTICLE{stavredes2001system,
  author = {Stavredes, T.},
  title = {{A system dynamics evaluation model and methodology for instructional
	technology support}},
  journal = {Computers in Human Behavior},
  year = {2001},
  volume = {17},
  pages = {409--419},
  number = {4},
  publisher = {Elsevier}
}

@ARTICLE{sveiby1996tka,
  author = {Sveiby, K.E.},
  title = {Transfer of knowledge and the information processing professions},
  journal = {European Management Journal},
  year = {1996},
  volume = {14},
  pages = {379--388},
  number = {4},
  publisher = {Elsevier}
}

@ARTICLE{szulanski2000pkt,
  author = {Szulanski, G.},
  title = {The Process of Knowledge Transfer: A Diachronic Analysis of Stickiness},
  journal = {Organizational Behavior and Human Decision Processes},
  year = {2000},
  volume = {82},
  pages = {9--27},
  number = {1},
  publisher = {Elsevier}
}

@ARTICLE{Tai2002,
  author = {Tai, Xiaoying and Ren, Fuji and Kita, Kenji},
  title = {An information retrieval model based on vector space method by supervised
	learning},
  journal = {Information Processing \& Management},
  year = {2002},
  volume = {38},
  pages = {749--764},
  number = {6},
  month = nov,
  keywords = {Information retrieval, Supervised learning, Vector space model, Relevance
	feedback, Singular value decomposition, Linear transformation},
  owner = {fox},
  timestamp = {2008.08.31},
}

@ARTICLE{teo1999iae,
  author = {Teo, T.S.H. and Lim, V.K.G. and Lai, R.Y.C.},
  title = {{Intrinsic and extrinsic motivation in Internet usage}},
  journal = {Omega},
  year = {1999},
  volume = {27},
  pages = {25--37},
  number = {1},
  publisher = {Elsevier}
}

@ARTICLE{Tian2002,
  author = {Tian, Qijia and Ma, Jian and Liu, Ou},
  title = {A hybrid knowledge and model system for R\&D project selection},
  journal = {Expert Systems with Applications},
  year = {2002},
  volume = {23},
  pages = {265--271},
  number = {3},
  month = oct,
  keywords = {Decision support systems, Knowledge-based systems, Model management,
	R&D project selection},
  owner = {fox},
  timestamp = {2008.08.30},
}

@ARTICLE{Wei2008,
  author = {Wei, Chih-Ping and Yang, Christopher C. and Lin, Chia-Min},
  title = {A Latent Semantic Indexing-based approach to multilingual document
	clustering},
  journal = {Decision Support Systems},
  year = {2008},
  volume = {45},
  pages = {606--620},
  number = {3},
  month = jun,
  abstract = {The creation and deployment of knowledge repositories for managing,
	sharing, and reusing tacit knowledge within an organization has emerged
	as a prevalent approach in current knowledge management practices.
	A knowledge repository typically contains vast amounts of formal
	knowledge elements, which generally are available as documents. To
	facilitate users' navigation of documents within a knowledge repository,
	knowledge maps, often created by document clustering techniques,
	represent an appealing and promising approach. Various document clustering
	techniques have been proposed in the literature, but most deal with
	monolingual documents (i.e., written in the same language). However,
	as a result of increased globalization and advances in Internet technology,
	an organization often maintains documents in different languages
	in its knowledge repositories, which necessitates multilingual document
	clustering (MLDC) to create organizational knowledge maps. Motivated
	by the significance of this demand, this study designs a Latent Semantic
	Indexing (LSI)-based MLDC technique capable of generating knowledge
	maps (i.e., document clusters) from multilingual documents. The empirical
	evaluation results show that the proposed LSI-based MLDC technique
	achieves satisfactory clustering effectiveness, measured by both
	cluster recall and cluster precision, and is capable of maintaining
	a good balance between monolingual and cross-lingual clustering effectiveness
	when clustering a multilingual document corpus.},
  booktitle = {Special Issue Clusters},
  keywords = {Document management, Text mining, Document clustering, Multilingual
	document clustering, Multilingual knowledge management, Latent Semantic
	Indexing},
  owner = {fox},
  timestamp = {2008.08.31},
}

@ARTICLE{Wilkins1997,
  author = {Jeff Wilkins AND Bert van Wegen AND Robert de Hoog},
  title = {Understanding and valuing knowledge assets: Overview and method},
  journal = {Expert Systems with Applications},
  year = {1997},
  volume = {13},
  pages = {55-72},
  number = {1},
  month = {July},
  abstract = {This paper investigates issues concerning the definition and valuation
	of knowledge assets. It starts by reviewing several approaches to
	defining knowledge assets more precisely. These include human resource
	accounting, organizational learning and intellectual property. Next
	an inventory is made of how the valuation problem is handled in practice,
	focusing on corporate practices, venture capital practice and commercial
	banking practices. From there a new framework for knowledge assets
	is developed based on relevant differences between human resource
	assets and intellectual property. Subsequently a method is described
	for valuing knowledge assets at a level of detail that is relevant
	for knowledge management. This method uses the added value and the
	cost of a knowledge asset as the main contributors to value. For
	establishing the cost of a knowledge asset, use is made of activity
	based costing. Additionally some limitations of the method are discussed.},
  doi = {10.1016/S0957-4174(97)00022-5},
  owner = {Administrator},
  timestamp = {2007.06.25}
}

@ARTICLE{Wooten1995,
  author = {Wooten, Thomas C. and Rowley, Thomas H.},
  title = {Using anthropological interview strategies to enhance knowledge acquisition},
  journal = {Expert Systems with Applications},
  year = {1995},
  volume = {9},
  pages = {469--482},
  number = {4},
  abstract = {Knowledge engineering is the "bottleneck" in expert systems (ES) development
	that has prevented widespread ES application. The bottleneck problem
	is exacerbated by a lack of specific information in published accounting
	research and accounting information texts describing specific knowledge
	elicitation activities. That lack of information adversely impacts
	the ability to develop cost effective ES. A review from the social
	sciences indicates that knowledge elicitation has been well developed
	by anthropologists and ethnologists. Application of anthropological
	interview strategies can overcome this "bottleneck." Ford and Wood
	(1992) developed a strategy fof knowledge elicitation based on their
	research into anthropology and ethnology. Ford and Wood's (1992)
	four phase strategy addresses the issues of knowledge organization,
	problem representation, problem solving strategies, and tacit knowledge
	to improve the elicitation process. This four phase interviewing
	strategy was applied to an accounting and finance environment and
	a prototype ES was developed. Examples of the questions used to perform
	each knowledge elicitation task are presented along with a description
	of the controls used to assure accuracy in developing the related
	knowledge base. Using this elicitation strategy, allows one to overcome
	many of the problems previously identified with knowledge elicitation.},
  booktitle = {Expert systems in accounting, auditing, and finance},
  owner = {fox},
  timestamp = {2008.08.31},
}

@ARTICLE{Wu2007,
  author = {Wu, Chorng-Guang and Gerlach, James H. and Young, Clifford E.},
  title = {An empirical analysis of open source software developers' motivations
	and continuance intentions},
  journal = {Information \& Management},
  year = {2007},
  volume = {44},
  pages = {253--262},
  number = {3},
  month = apr,
  keywords = {Open source software, Expectancy-value theory, Expectancy, Valence,
	Satisfaction, Continuance},
  owner = {fox},
  timestamp = {2008.10.26},
}

@ARTICLE{Yang2008,
  author = {Yang, Stephen J.H. and Chen, Irene Y.L.},
  title = {A social network-based system for supporting interactive collaboration
	in knowledge sharing over peer-to-peer network},
  journal = {International Journal of Human-Computer Studies},
  year = {2008},
  volume = {66},
  pages = {36--50},
  number = {1},
  month = jan,
  keywords = {Social network, Interactive collaboration, Knowledge sharing, Peer-to-peer,
	Instant messenger},
  owner = {fox},
  timestamp = {2008.11.04},
}

@ARTICLE{Zakarian1999,
  author = {Zakarian, Vaagn L. and Kaiser, Mark J.},
  title = {An embedded hybrid neural network and expert system in a computer-aided
	design system},
  journal = {Expert Systems with Applications},
  year = {1999},
  volume = {16},
  pages = {233--243},
  number = {2},
  month = feb,
  abstract = {An embedded hybrid neural network and expert system functioning within
	a computer-aided design (CAD) system is developed to provide expert
	advice and self-learning for the structural adaptation of a mathematical
	model of electrical machines. The knowledge based intelligent system
	is designed to incorporate an optimization search of the design parameters
	of electric motors, while allowing the potential to develop a custom
	base of knowledge for application in related areas. The intelligent
	system is updated through a CAD system execution as well as in a
	text editor. The neural network component of the system is used to
	link the units of the expert system, and the network is trained with
	the gradient descent method. Application of the intelligent system
	demonstrates its reliability and assistance in the adaptation process.},
  keywords = {Computer-aided design, Embedded hybrid neural network, Intelligent
	system},
  owner = {fox},
  timestamp = {2008.08.31},
}

@ARTICLE{Zhugea,
  author = {Hai Zhuge AND Weiyu Guo},
  title = {Virtual knowledge service market—For effective knowledge flow within
	knowledge grid},
  journal = {Journal of Systems and Software},
  year = {2007},
  volume = {80},
  pages = {1833-1842},
  number = {11},
  abstract = {A knowledge service consists of systematic knowledge and the mechanism
	of using knowledge to perform a task. The supply of knowledge services
	forms a knowledge service layer over the knowledge flow network formed
	by free knowledge sharing. To stimulate the supply of knowledge services,
	this paper proposes a virtual knowledge service market by establishing
	reward and reputation mechanisms. Simulations demonstrate that a
	team with the market mechanism performs better than those without
	it. The virtual knowledge service market provides an experimental
	platform for exploring the rules of knowledge service such as the
	impact of individual behavior on states of individual and team as
	well as the change of the states.},
  doi = {10.1016/j.jss.2007.02.028},
  keywords = {Knowledge Grid; Knowledge service; Knowledge flow network; Reputation;
	Market; Auction; Bargain},
  owner = {Administrator},
  timestamp = {2007.06.26}
}

@ARTICLE{ZIGURS2003,
  author = {ZIGURS, ILZE},
  title = {Leadership in Virtual Teams:: Oxymoron or Opportunity?},
  journal = {Organizational Dynamics},
  year = {2003},
  volume = {31},
  pages = {339--351},
  number = {4},
  month = jan,
  owner = {fox},
  timestamp = {2008.11.03},
}

@article{Richard2009,
title = "A proposed model of online consumer behavior: Assessing the role of gender",
journal = "Journal of Business Research",
volume = "In Press, Corrected Proof",
number = "",
pages = " - ",
year = "2009",
note = "",
issn = "0148-2963",
doi = "DOI: 10.1016/j.jbusres.2009.02.027",
author = "Marie-Odile Richard and Jean-Charles Chebat and Zhiyong Yang and Sanjay Putrevu",
keywords = "Web experience",
keywords = "Web atmospherics",
keywords = "Website exploratory behavior",
keywords = "Website involvement",
keywords = "Modeling",
keywords = "Gender"
}

@article{Jeppesen2009,
title = "The role of lead users in knowledge sharing",
journal = "Research Policy",
volume = "In Press, Corrected Proof",
number = "",
pages = " - ",
year = "2009",
note = "",
issn = "0048-7333",
doi = "DOI: 10.1016/j.respol.2009.09.002",
url = "http://www.sciencedirect.com/science/article/B6V77-4XF7XRD-1/2/3830ee6b9c25bd2706da810c0a59f6b8",
author = "Lars Bo Jeppesen and Keld Laursen",
keywords = "Lead users",
keywords = "Knowledge sharing",
keywords = "Online community"
}

@article{ChangLee2005469,
title = "KMPI: measuring knowledge management performance",
journal = "Information & Management",
volume = "42",
number = "3",
pages = "469 - 482",
year = "2005",
note = "",
issn = "0378-7206",
doi = "DOI: 10.1016/j.im.2004.02.003",
author = "Kun Chang Lee and Sangjae Lee and In Won Kang",
keywords = "Knowledge management performance",
keywords = "Knowledge circulation process",
keywords = "Logistic function",
keywords = "KMPI",
keywords = "Factor analysis"
}

@article{raban2007investigating,
  title={{Investigating ownership and the willingness to share information online}},
  author={Raban, D.R. and Rafaeli, S.},
  journal={Computers in Human Behavior},
  volume={23},
  number={5},
  pages={2367--2382},
  year={2007},
  publisher={Elsevier}
}

@article{oreg2008exploring,
  title={{Exploring motivations for contributing to open source initiatives: The roles of contribution context and personal values}},
  author={Oreg, S. and Nov, O.},
  journal={Computers in Human Behavior},
  volume={24},
  number={5},
  pages={2055--2073},
  year={2008},
  publisher={Elsevier}
}

@article{clark1956hope,
  title={{Hope of success and fear of failure as aspects of need for achievement}},
  author={Clark, R.A. and Teevan, R. and Ricciuti, H.N.},
  journal={Journal of Abnormal and Social Psychology},
  volume={53},
  number={2},
  pages={182--186},
  year={1956},
  publisher={Elsevier}
}

@article{atkinson1953achievement,
  title={{The achievement motive and recall of interrupted and completed tasks}},
  author={Atkinson, J.W.},
  journal={Journal of Experimental Psychology},
  volume={46},
  number={6},
  pages={381--390},
  year={1953},
  publisher={Elsevier}
}

@article{stajkovic2009collective,
  title={{Collective efficacy, group potency, and group performance: Meta-analyses of their relationships, and test of a mediation model}},
  author={Stajkovic, A.D. and Lee, D. and Nyberg, A.J.},
  journal={Journal of Applied Psychology},
  volume={94},
  number={3},
  pages={814--828},
  year={2009},
  publisher={American Psychological Association (PsycARTICLES)}
}

@article{kozinets2002field,
  title={{The field behind the screen: using netnography for marketing research in online communities}},
  author={Kozinets, R.V.},
  journal={Journal of marketing research},
  volume={39},
  number={1},
  pages={61--72},
  year={2002},
  publisher={JSTOR}
}

@article{pintrich2004applications,
  title={{Applications of a model of goal orientation and self-regulated learning to individuals with learning problems}},
  author={Pintrich, P.R. and Blazevski, J.L.},
  journal={International review of research in mental retardation},
  volume={28},
  pages={31--83},
  year={2004},
  publisher={Elsevier}
}

@article{ryan2000intrinsic,
  title={{Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions* 1}},
  author={Ryan, R.M. and Deci, E.L.},
  journal={Contemporary educational psychology},
  volume={25},
  number={1},
  pages={54--67},
  year={2000},
  publisher={Elsevier}
}
@article{yang2010motivations,
  title={{Motivations of Wikipedia content contributors}},
  author={Yang, H.L. and Lai, C.Y.},
  journal={Computers in Human Behavior},
  year={2010},
  publisher={Elsevier}
}

@article{yu2010exploring,
  title={{Exploring factors that influence knowledge sharing behavior via weblogs}},
  author={Yu, T.K. and Lu, L.C. and Liu, T.F.},
  journal={Computers in Human Behavior},
  volume={26},
  number={1},
  pages={32--41},
  year={2010},
  publisher={Elsevier}
}

@article{eden1995evaluating,
  title={{On evaluating the performance of wide-band'GDSS's}},
  author={Eden, C.},
  journal={European Journal of Operational Research},
  volume={81},
  number={2},
  pages={302--311},
  year={1995},
  publisher={Elsevier}
}
